An Updated Review of the Biomarkers of Response to Immune Checkpoint Inhibitors in Merkel Cell Carcinoma: Merkel Cell Carcinoma and Immunotherapy

Author:

Fojnica Adnan12,Ljuca Kenana3,Akhtar Saghir4,Gatalica Zoran56,Vranic Semir4ORCID

Affiliation:

1. Institute of Virology, TUM School of Medicine, Technical University of Munich, 81675 Munich, Germany

2. Molecular Biology and Biochemistry, Gottfried Schatz Research Center, Medical University of Graz, 8036 Graz, Austria

3. Health Center of Sarajevo Canton, 71000 Sarajevo, Bosnia and Herzegovina

4. Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar

5. Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73019, USA

6. Reference Medicine, Phoenix, AZ 85040, USA

Abstract

Merkel cell carcinoma (MCC) is primarily a disease of the elderly Caucasian, with most cases occurring in individuals over 50. Immune checkpoint inhibitors (ICI) treatment has shown promising results in MCC patients. Although ~34% of MCC patients are expected to exhibit at least one of the predictive biomarkers (PD-L1, high tumor mutational burden/TMB-H/, and microsatellite instability), their clinical significance in MCC is not fully understood. PD-L1 expression has been variably described in MCC, but its predictive value has not been established yet. Our literature survey indicates conflicting results regarding the predictive value of TMB in ICI therapy for MCC. Avelumab therapy has shown promising results in Merkel cell polyomavirus (MCPyV)-negative MCC patients with TMB-H, while pembrolizumab therapy has shown better response in patients with low TMB. A study evaluating neoadjuvant nivolumab therapy found no significant difference in treatment response between the tumor etiologies and TMB levels. In addition to ICI therapy, other treatments that induce apoptosis, such as milademetan, have demonstrated positive responses in MCPyV-positive MCC, with few somatic mutations and wild-type TP53. This review summarizes current knowledge and discusses emerging and potentially predictive biomarkers for MCC therapy with ICI.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference123 articles.

1. Merkel cell carcinoma: A review;Walsh;J. Cutan. Pathol.,2021

2. Merkel cell carcinoma: An update and review: Pathogenesis, diagnosis, and staging;Coggshall;J. Am. Acad. Dermatol.,2018

3. Merkel cell carcinoma in immunosuppressed patients;Ma;Cancers,2014

4. A comparison of merkel cell carcinoma and melanoma: Results from the california cancer registry;Grabowski;Clin. Med. Oncol.,2008

5. MASH1: A useful marker in differentiating pulmonary small cell carcinoma from Merkel cell carcinoma;Ralston;Mod. Pathol.,2008

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3